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<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics Discussions</journal_title>
		<journal_url>www.atmos-chem-phys-discuss.net</journal_url>
		<issn>1680-7367</issn>
		<eissn>1680-7375</eissn>
		<volume_number>3</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2003</publication_year>
	</journal>
	<doi>10.5194/acpd-3-1333-2003</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/3/1333/2003/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/3/1333/2003/acpd-3-1333-2003.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/3/1333/2003/acpd-3-1333-2003.pdf</fulltext_pdf>
	<start_page>1333</start_page>
	<end_page>1366</end_page>
	<publication_date>2003-02-13</publication_date>
	<article_title content_type="html">An evolution strategy to estimate emission source distributions on a regional scale from atmospheric observations</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>P. O’Brien</name>
		</author>
		<author numeration="2" affiliations="2">
			<name>D. Corcoran</name>
		</author>
		<author numeration="3" affiliations="3">
			<name>D. Lowry</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Martin Ryan Marine Science Institute, National University of Ireland Galway, Ireland</affiliation>
		<affiliation numeration="2" content_type="html">Physics Department, University of Limerick, Ireland</affiliation>
		<affiliation numeration="3" content_type="html">Department of Geology, Royal Holloway University of London, UK</affiliation>
	</affiliations>
	<abstract content_type="html">In this paper we present an Evolution Strategy (ES) approach towards the estimation
      of the location and strength of surface emissions of trace gases based on atmospheric
      concentration measurements and back-trajectory analyses. The details of the ES
      developed are outlined. The ES is tested using artificial emission maps at different
      grid resolutions and the results compared to those obtained on the same problems
      using Singular Value Decomposition (SVD). In almost all cases, the ES improves on
      SVD at equivalent resolutions. In addition, a number of insights, which the ES
      approach brings to the problem of source location and emission strength, are
      discussed, particularly the limitations on the use of measurement and meteorological
      data in the determination of emission source distribution.</abstract>
	<references>
	</references>
</article>

